📖9 AI for R & D | All Night Paper Search is not over yet? Try these 9

Have you ever felt that you've been doing research all day and you haven't done it in time?

In an age when R & D is a race against time, having an assistant who doesn't sleep, isn't hungry and doesn't forget details is something that changes the game.

Today it includes nine AI that R & D workers should know, which one they use for what kind of work they do, one by one.

🔹 R & D life that many people are familiar with.

📌 "Read the paper on page 47 of 60 pages."

- The third cup of coffee of the day.

- 17 tabs open screen

- Abstracted says it's good, but read the method and get more confused.

📌 "The 23rd trial hasn't passed."

- The chief came to ask, "Does next week work?"

- During the day, writers, diplomats, teachers, slide designers and p-value translators must be swapped for marketing.

If something lightens the repetitive part, you'll have time to think about what only humans can think of.

🔹 9 AI that should be stored in the toolbox.

1️⃣ ChatGPT / Claude - Table Thinking Friend

📌 a variety of assistants, from mobilizing new project ideas to writing abstract.

✅ What works:

- Summarize the 30-page long paper to 1 paragraph.

- Draft proposal and abstract

- Explain difficult ideas in a language that the sales department understands.

🎯 Tip: On the day of the head, let's open it up and get an idea in the third sentence.

2️⃣ Perplexity AI - Answered search engine with reference source

📌 Google sends you 10 links, and Perplexity sends you the finished answer with the source paste.

✅ Fits:

- R & D work that needs to check the source of information before believing.

- Czech information back to the original, one click.

🎯 Tip: Use with ChatGPT - Perplexity Find information for ChatGPT to compile.

3️⃣ Elicited - Literary Review Assistant

📌 Type in the research question. Elicited will draw the relevant research with a summary.

✅ Information obtained:

- What method does each piece use?

- How much sample?

- How's the result?

🎯 Trick: A literary review that used to last a week can be reduced to one afternoon.

4️⃣ Consensus - Circle Commentary Czech Machine

📌 want to know what most of the research says on one issue. Print it in Consensus. It's going to be a percentage.

✅ Advantages:

- Don't risk referencing a single paper you accidentally found.

- You can see which side is louder.

🎯 Tip: Use before writing literature review will reduce the risk of being slapped back by the reviewer.

5️⃣ NotebookLM - Your Own Smart Notebook

📌 Only work with your own documents. Upload and ask.

✅ uploadable:

- PDF paper

- Record of the meeting.

- Internal report

- Old project documents

🎯 Tip: Ask like, "What problems did we have with this formula last year?"

6️⃣ SciSpace - Paper Time Interpreter Begins Speaking Alien Language

📌 has the Copilot feature to highlight text that you don't understand and ask, "What does this mean?"

✅ available:

- Paper summary

- Compare many pieces.

- Find related work

🎯 Tip: Apply to a sentence that reads three rounds is not yet understood. It will be described in normal human language.

7️⃣ ResearchRabbit - Relationship Map of Research

📌 Have a favorite paper on hand. ResearchRabbit will recommend a job that "you should like too."

✅ to see that:

- Who's capped from who?

- Who opposed who?

- Which researchers are playing the same story?

🎯 Tip: Change the follow-up to read the research from "walk lost in the forest" to "look at the map."

8️⃣ Scite - Reference Analyzer

📌 citation count doesn't always mean a cool job. Maybe people quote to say, "This piece is wrong."

✅ Scite split to see:

- Who claims to support it?

- Who claims to object?

- Assess the quality more accurately.

🎯 Tip: Use it before deciding to cite important work. It will filter quality better.

9️⃣ Gamma - Slide designer who doesn't complain, even solves 17 rounds

📌 Put the outline in. Get a nice slide in five minutes.

✅ Gamma provides:

- Structure

- Illustration

- Placement

🎯 Tip: You just glaze the content and rehearse the speech. The part that used to last before the presentation, half a day, is gone.

🔹 Brief summary

📌 AI does not replace R & D people, because the question of "why is today's experiment broken?" also requires the human brain to answer.

📌, but the work that allows AI to wade first:

✅ Search Paper - Use Perplexity / Elicited / ResearchRabbit

✅ Summary and Understand Paper - Use SciSpace / NotebookLM

✅ Czech Quality Reference - Use Consensus / Scite

✅ Draft Documents and Slides - Use ChatGPT / Claude / Gamma

🎯, try to pick a few that are closest to your routine. Use for two weeks and start to see the pace change.

So what part of your R & D job would you like to put AI first?

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